src/streamlit_app.py

import altair as alt
import numpy as np
import pandas as pd
import streamlit as st
#==
import uuid
from pathlib import Path
from huggingface_hub import CommitScheduler
import json
#from huggingface_hub import login
from huggingface_hub import whoami
import os
#==
import datetime

user = whoami(token=os.environ.get("HF_TOKEN"))
#==

#st.set_page_config(layout="wide")

#===
#login()
## Define the file where to save the data. Use UUID to make sure not to overwrite existing data from a previous run.
#feedback_file = Path("PedroC11/data_pref/") / f"data_{uuid.uuid4()}.json"
#feedback_folder = feedback_file.parent

feedback_folder = Path("data_JSON")
feedback_folder.mkdir(parents=True, exist_ok=True)
#######feedback_file = feedback_folder / f"data_{uuid.uuid4()}.json"

# Schedule regular uploads. Remote repo and local folder are created if they don't already exist.
scheduler = CommitScheduler(
    repo_id="data_pref",
    repo_type="dataset",
    folder_path=feedback_folder,
    path_in_repo="data_s",
    #every=10,
)

# Define the function that will be called when the user submits its feedback (to be called in Gradio)
#def save_feedback(input_text:str, output_1: str, output_2:str, user_choice: int) -> None:
#    """
#    Append input/outputs and user feedback to a JSON Lines file using a thread lock to avoid concurrent writes from different users.
#    """
#    with scheduler.lock:
#        with feedback_file.open("a") as f:
#            f.write(json.dumps({"input": input_text, "output_1": output_1, "output_2": output_2, "user_choice": user_choice}))
#            f.write("\n")
#====

if 'cont_r' not in st.session_state:
        st.session_state.cont_r = 0


# ---- CONFIG ----
st.set_page_config(page_title="Image Preference Study", layout="centered")

st.title("Image Preference Study")

st.header("Instructions", divider=True)
#st.markdown(f"**Instructions:** 
st.markdown(f"You will be shown 25 pairs of images. For each pair, please select which image \"Option A\" (left) or \"Option B\" (right) you think is \
**more visually appealing** and has a **better quality** (for example, *sharp edges*, *clear object details/shapes/proportions*, etc.) , regardless of the picture subject content.")
st.markdown(f"Please, evaluate each pair of images **independently** of the other pairs.")
st.markdown(f"If needed, please, **look closer** to the screen and/or **zoom in** the pictures.")
st.markdown(f"*Example: If Option A depicts a gray bunny and is a better quality picture than Option B which depicts a brown bunny, I would choose Option A despite \
the fact that I personally *like* brown bunnies more than gray bunnies.*")


st.header("Images", divider=True)
# ---- IMAGE PAIRS ----
# Replace with your actual image paths or URLs
image_pairs = [
("images/A_0.jpeg", "images/B_0.jpeg"),
("images/A_1.jpeg", "images/B_1.jpeg"),
("images/A_2.jpeg", "images/B_2.jpeg"),
("images/A_3.jpeg", "images/B_3.jpeg"),
("images/A_4.jpeg", "images/B_4.jpeg"),
("images/A_5.jpeg", "images/B_5.jpeg"),
("images/A_6.jpeg", "images/B_6.jpeg"),
("images/A_7.jpeg", "images/B_7.jpeg"),
("images/A_8.jpeg", "images/B_8.jpeg"),
("images/A_9.jpeg", "images/B_9.jpeg"),
("images/A_10.jpeg", "images/B_10.jpeg"),
("images/A_11.jpeg", "images/B_11.jpeg"),
("images/A_12.jpeg", "images/B_12.jpeg"),
("images/A_13.jpeg", "images/B_13.jpeg"),
("images/A_14.jpeg", "images/B_14.jpeg"),
("images/A_15.jpeg", "images/B_15.jpeg"),
("images/A_16.jpeg", "images/B_16.jpeg"),
("images/A_17.jpeg", "images/B_17.jpeg"),
("images/A_18.jpeg", "images/B_18.jpeg"),
("images/A_19.jpeg", "images/B_19.jpeg"),
("images/A_20.jpeg", "images/B_20.jpeg"),
("images/A_21.jpeg", "images/B_21.jpeg"),
("images/A_22.jpeg", "images/B_22.jpeg"),
("images/A_23.jpeg", "images/B_23.jpeg"),
("images/A_24.jpeg", "images/B_24.jpeg")   
]

results = {}


code_prov = st.text_input("Type the provided code in the box below:")

# ---- LOOP THROUGH PAIRS ----
for i, (imgA, imgB) in enumerate(image_pairs):
    st.markdown(f"### Pair {i+1}")
    col1, col2 = st.columns(2)

    with col1:
        st.image(imgA, caption="Option A", use_container_width=True)
    with col2:
        st.image(imgB, caption="Option B", use_container_width=True)

    choice = st.radio(
        f"Which image do you prefer for Pair {i+1}?",
        ("-","Option A (left)", "Option B (right)"),
        key=f"choice_{i}"
    )
    results[f"pair_{i+1}"] = choice

# ---- SUBMIT ----
if st.button("Submit"):

    cont = 0
    for key in results:
        if results[key] == "-":
            cont += 1
    
    if code_prov == "":
        st.error("Please, insert your provided code at the beginning of this form. Then, try submitting again.")
    elif cont != 0:
        st.error("It seems you have not evaluated all pairs. Please, check again and Submit. Click on Submit again if you think there is error.")    
    else:
        if st.session_state.cont_r == 0:     

            st.session_state.cont_r += 1 
            #st.success("Thank you! Your responses have been recorded.")
            #st.write("Thank you! Your selection has been recorded.")
            st.success("Thank you! Your selection has been recorded.")
            #st.write("Your final selection is in the green box below. Please, copy them and send them to my email. Thanks a lot!")
            #s_rp = "SELECTION: "
            #for i in range(len(image_pairs)):
            #    if i == (len(image_pairs) - 1):
            #        s_rp = s_rp + results[f"pair_{i+1}"] +  "."
            #    else:
            #        s_rp = s_rp + results[f"pair_{i+1}"] +  ", "
            ##st.badge(s_rp, width = "stretch")
            #st.success(s_rp)
            
            # st.json(results)
        
            #====
            current_time = datetime.datetime.now()
            results["day"] = str(current_time.day)
            results["time"] = str(current_time.hour) + ":" + str(current_time.minute) + ":" + str(current_time.second)
            results["code"] = code_prov
            results["page"] = "Im_1"
            
            with scheduler.lock:
                feedback_file = feedback_folder / f"data_{uuid.uuid4()}_{results["code"]}.json"
                with feedback_file.open("a") as f:
                    f.write(json.dumps(results))
                    f.write("\n")
            #====
        else:
            st.success("Thanks. Only one submission is allowed.")
    
    # Save to file (you could also save to a database)
    #with open("resp/responses.txt", "a") as f:
    #    f.write(str(results) + "\n")